This week's articles
How the Claude Code team does code review
Claude Code's team automates most code review via pre-PR verification, AI and security reviewers that block merges, risk-tiered human approval, merge queues, feature flags, and fast rollback. Humans review risky code and architecture, minimizing time without raising reverts or incidents.
Putting models to the secure coding test: Security rules
Datadog tested Sonnet 5, Composer 2.5, and GPT 5.5 with CodeGuard security rules. Only GPT 5.5 closed the cross-user document IDOR. Sonnet 5 kept injection hygiene but retained authorization gaps; Composer 2.5 kept hardcoded secret fallbacks and post-logout token validity.
Your AI agent fixed the bug, but what else did it change?
Trail of Bits released patching-bugs and regression-hunt, agent plugins for reproducing bugs, developing fixes, and detecting regressions via live PoCs. regression-hunt yields 25% fewer false positives than a baseline Codex prompt, but confidently reports fewer known regressions.
LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step.
AI in cyber security problems
NCSC chapter on AI in cyber security covers autonomous cyber defence, AI system security, and national-scale resilience. Agentic AI offers defenders scale but adds risks, as threat actors already use AI.
ARMORY CASTLE Exploits BeyondTrust
Google Threat Intelligence Group and Mandiant attribute zero-day exploitation of BeyondTrust Remote Support CVE-2026-102764 to PRC-nexus ARMORY CASTLE. The actor deployed SAWFLY webshell and BARECLAW SOCKS5 tunneler, escalated to root via SUID shell, harvested vault credentials, and deleted logs.
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